​New awesome GAN paper

https://arxiv.org/abs/1812.04948

🔗 [1812.04948] A Style-Based Generator Architecture for Generative Adversarial Networks

​A Style-Based Generator Architecture for Generative Adversarial Networks

🔗 A Style-Based Generator Architecture for Generative Adversarial Networks
Paper (PDF):
http://stylegan.xyz/paper

Authors:
Tero Karras (NVIDIA)
Samuli Laine (NVIDIA)
Timo Aila (NVIDIA)

Abstract:
We propose an alternative generator architecture for generative adversarial networks, borrowing from style transfer literature. The new architecture leads to an automatically learned, unsupervised separation of high-level attributes (e.g., pose and identity when trained on human faces) and stochastic variation in the generated images (e.g., freckles, hair), and it enables intuitive, scal

🎥 Applying Deep Learning in healthcare by Florin Manaila
👁 1 раз ⏳ 427 сек.
Welcome to this video in the PowerAI series.
Meet Florin Manaila from IBM Systems sharing how Architecting AI solutions can accelerate Breast Cancer Detection using Deep Learning.
#IBMsystems #IBMPowersystems

​QuantNet открыли вакансию Cryptocurrency Developer (Blockchain, Ethereum, Smart Contract). Филиалы в Москве и Санкт-Петербурге на выбор.
Детали этой и других вакансий компании можно посмотреть в группе QuantNet в обсуждениях, или на сайте quantnet.ai
#вакансии #вакансия@quantnetrussia #QNet_job #QuantNet #FinTech #cryptocurrency #blockchain

🔗 Вакансия: Cryptocurrency Developer
Article

Running with Trained Model - Deep Learning in Halite AI competition p.6

🎥 Running with Trained Model - Deep Learning in Halite AI competition p.6

Kuzushiji-MNIST - Japanese Literature Alternative Dataset for Deep Learning Tasks
https://towardsdatascience.com/kuzushiji-mnist-japanese-literature-alternative-dataset-for-deep-learning-tasks-d48ae3f5395b?source=collection_home---4------1---------------------

https://habr.com/post/433182/

Может ли обучить с подкреплением агента для торговли на рынке акций? Реализация на языке R

#machinelearning #neuralnets #deeplearning #машинноеобучение

Наш телеграмм канал - https://t.me/ai_machinelearning_big_data

​Rails Reactor Lecture - Recommendation System. Right now online https://www.facebook.com/RailsReactor/videos/2263385110398870/UzpfSTE2MTYyODUzNTUzNDE4NTQ6Vks6MjAwNzc1NTc3Mjg1MzUwOA/?acontext=%7B%22ref%22%3A%2229%22%2C%22ref_notif_type%22%3A%22admin_plan_mall_activity%22%2C%22action_history%22%3A%22null%22%7D&notif_id=1544807988939694&notif_t=admin_plan_mall_activity

🔗 Rails Reactor
Ihor Kroosh speaks about Recommender Systems.

To watch more videos like this and to be notified when new metups are announced, follow us:
https://www.facebook.com/RailsReactor/
and interact with...

Text Summarization on the Books of Harry Potter
https://towardsdatascience.com/text-summarization-on-the-books-of-harry-potter-5e9f5bf8ca6c?source=collection_home---4------0---------------------

​Useful thing for in-painting task
https://github.com/NVIDIA/partialconv

🔗 NVIDIA/partialconv
A New Padding Scheme: Partial Convolution based Padding - NVIDIA/partialconv

​Facebook has released #PyText — new framework on top of #PyTorch.

This framework is build to make it easier for developers to build #NLP models.

Link: https://code.fb.com/ai-research/pytext-open-source-nlp-framework/

🔗 Open-sourcing PyText for faster NLP development
We are open-sourcing PyText, a framework for natural language processing. PyText is built on PyTorch and it makes it faster and easier to build deep learning models for NLP.

​New book by Andrew Ng

Drawn from his experience leading Google Brain, Baidu's AI Group, and Landing AI, this 5-step Playbook provides a roadmap for your company to transform into a great AI company.

Site: https://landing.ai/ai-transformation-playbook
Direct link: https://d6hi0znd7umn4.cloudfront.net/content/uploads/2018/12/AI-Transformation-Playbook.pdf

#book

🔗 AI Transformation Playbook How to lead your company into the AI era - Landing AI

​Трудности создания Open Source Machine Learning библиотеки на примере Apache Ignite ML

🔗 Трудности создания Open Source Machine Learning библиотеки на примере Apache Ignite ML
Доклад для тех кому интересно машинное обучение, написание библиотек для open source, распределенные вычисления и задачи, которые приходится решать в ходе ра...

​How to Improve Deep Learning Model Robustness by Adding Noise

https://machinelearningmastery.com/how-to-improve-deep-learning-model-robustness-by-adding-noise/

🔗 How to Improve Deep Learning Model Robustness by Adding Noise
Adding noise to an underconstrained neural network model with a small training dataset can have a regularizing effect and reduce overfitting. Keras supports the addition of Gaussian noise via a separate layer called the GaussianNoise layer. This layer can be used to add noise to an existing model. In this tutorial, you will discover how …

🎥 Онлайн мастер-класс от Паулы Янушкевич (CQURE) по информационной безопасности
👁 4 раз ⏳ 9922 сек.
Запись мастер-класса без перевода, на английском языке. Доступны русские субтитры.

​Link: https://www.technologyreview.com/s/612561/a-radical-new-neural-network-design-could-overcome-big-challenges-in-ai/

🔗 A radical new neural network design could overcome big challenges in AI
Researchers borrowed equations from calculus to redesign the core machinery of deep learning so it can model continuous processes like changes in health.

Object Detection using Google AI Open Images
https://towardsdatascience.com/object-detection-using-google-ai-open-images-4c908cad4a54?source=collection_home---4------0---------------------

​BigGANs: AI-Based High-Fidelity Image Synthesis

🔗 BigGANs: AI-Based High-Fidelity Image Synthesis
This episode was supported by insilico.com. "Anything outside life extension is a complete waste of time". See their papers:
- Papers: https://www.ncbi.nlm.nih.gov/pubmed/?term=Zhavoronkov%2Ba
- Website: http://insilico.com/

The paper "Large Scale GAN Training for High Fidelity Natural Image Synthesis" is available here:
- Paper: https://arxiv.org/abs/1809.11096
- Try it here: https://colab.research.google.com/github/tensorflow/hub/blob/master/examples/colab/biggan_generation_with_tf_hub.ipynb

We would li

​Quick poll, please fill where are you from: https://goo.gl/forms/AacYr2lDzxBg1vpf2

Poll is available until GMT 23:59. Please, vote, this will affect content as well as other activities, which can be created for our community.

🔗 Quick @opendatascience poll

​Why Deep Learning Works: ICSI UC Berkeley 2018

🔗 Why Deep Learning Works: ICSI UC Berkeley 2018
Recent development in the Theory of Heavy Tailed Self Regularization for Deep Neural Networks. An invited talk at The International Computer Science Institut...

Music Genre Classification with Python
https://towardsdatascience.com/music-genre-classification-with-python-c714d032f0d8?source=collection_home---4------1---------------------